000			02193nab|a22003257a|4500
999			_c64195 _d64187
001			64195
003			MX-TxCIM
005			20211006074512.0
008			190720s2015||||xxk|||p|op||||00||0|eng|d
022			_a1099-1743 (Online)
024	8		_ahttps://doi.org/10.1002/sres.2270
040			_aMX-TxCIM
041	0		_aeng
100	1		_aBanson, K.E. _922948
245	1	2	_aA systems thinking approach to address the complexity of agribusiness for sustainable development in Africa : _ba case study in Ghana
260			_aUnited Kingdom : _bWiley, _c2015.
500			_aPeer review
520			_aAfrican countries have comparative advantages in the production and export of primary commodities; however, they face many sustainability challenges in the agricultural sector. Since the democratization of many African countries, notably Ghana, there have been a number of interventions costing billions of dollars to overcome the challenges facing the agricultural industry but with little success. The agricultural industry is a complex system. Casual loop and Bayesian belief network modelling were used to develop systems models to determine the components and interactions between the policy and the social, environmental and economic dimensions of the industry. Insights into potential system behaviors and leverage points for systemic interventions required for sustainable agricultural development were identified. The systems models will help governments to anticipate the long-term consequences of their decisions and actions, as well as help to avoid any unintended consequences of policies and strategies such as ‘silo mentality’ and ‘organizational myopia’.
546			_aText in English
650		7	_2AGROVOC _92327 _aSustainable agriculture
650		7	_aAgricultural development _gAGROVOC _2 _91002
650		7	_2AGROVOC _917215 _aSystems
650		7	_2AGROVOC _98770 _aDecision making
651		7	_2AGROVOC _91316 _aAfrica
700	1		_922949 _aNguyen, N.C.
700	1		_922950 _aBosch, O.J.H.
700	1		_922951 _aNguyen, T.V.
773	0		_tSystems Research and Behavioral Science _gv. 32, no. 6, p. 672-688 _dUnited Kingdom : Wiley, 2015. _x1099-1743
942			_cJA _n0 _2ddc